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RISS 인기검색어
- 검색키워드
- 저자 : ( Yumeng Su ) (검색결과 4 건)
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Hybrid Resource Allocation Scheme in Secure Intelligent Reflecting Surface-Assisted IoT
Su, Yumeng,Gao, Hongyuan,Zhang, Shibo Korean Society for Internet Information 2022 KSII Transactions on Internet and Information Syst Vol.16 No.10
With the rapid development of information and communications technology, the construction of efficient, reliable, and safe Internet of Things (IoT) is an inevitable trend in order to meet high-quality demands for the forthcoming 6G communications. In this paper, we study a secure intelligent reflecting surface (IRS)-assisted IoT system where malicious eavesdropper trying to sniff out the desired information from the transmission links between the IRS and legitimate IoT devices. We discuss the system overall performance and propose a hybrid resource allocation scheme for maximizing the secrecy capacity and secrecy energy efficiency. In order to achieve the trade-off between transmission reliability, communication security, and energy efficiency, we develop a quantum-inspired marine predator algorithm (QMPA) for realizing rational configuration of system resources and prevent from eavesdropping. Simulation results demonstrate the superiority of the QMPA over other strategies. It is also indicated that proper IRS deployment and power allocation are beneficial for the enhancement of system overall capacity.
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( Hongyuan Gao ),( Shihao Wang ),( Yumeng Su ),( Helin Sun ),( Zhiwei Zhang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7
In this paper, we proposed a novel modulation recognition method based on quantum elephant herding algorithm (QEHA) evolving neural network under impulse noise environment. We use the adaptive weight myriad filter to preprocess the received digital modulation signals which passing through the impulsive noise channel, and then the instantaneous characteristics and high order cumulant features of digital modulation signals are extracted as classification feature set, finally, the BP neural network (BPNN) model as a classifier for automatic digital modulation recognition. Besides, based on the elephant herding optimization (EHO) algorithm and quantum computing mechanism, we design a quantum elephant herding algorithm (QEHA) to optimize the initial thresholds and weights of the BPNN, which solves the problem that traditional BPNN is easy into local minimum values and poor robustness. The experimental results prove that the adaptive weight myriad filter we used can remove the impulsive noise effectively, and the proposed QEHA-BPNN classifier has better recognition performance than other conventional pattern recognition classifiers. Compared with other global optimization algorithms, the QEHA designed in this paper has a faster convergence speed and higher convergence accuracy. Furthermore, the effect of symbol shape has been considered, which can satisfy the need for engineering.
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Latest research progress on anticancer effect of baicalin and its aglycone baicalein
Lin Wang,Ting Feng,Zhilian Su,Chao Pi,Yumeng Wei,Ling Zhao 대한약학회 2022 Archives of Pharmacal Research Vol.45 No.8
Cancer, which is a leading cause of deathsaround the world, is characterized by genetic mutationsand epigenetic changes. Baicalin and its aglycone baicalein,the major bioactive fl avones derived from the driedroot of Scutellaria baicalensis Georigi, belong to fl avonoidcompounds. Many studies demonstrated that both of themexhibited remarkable promising anticancer activities. Thisstudy summarized potential anticancer mechanisms of baicalinand baicalein including induction of apoptosis, initiationof cell cycle arrest, suppression of metastasis, induction ofautophagy, and regulation of immunity. Combination strategiesinvolving baicalin or baicalein as chemotherapeuticadjuvants, clinical trial and safety were also discussed. In addition, we compared the diff erence in their anticancereff ects. Interestingly, baicalein showed quicker and strongerinhibitory eff ects on multiple cancers than those of baicalin,probably due to its smaller size and high lipophilicity whichcontribute to fast absorption and improve ability to penetratecells. Taken together, both baicalin and baicalein are eff ectivein treating cancer with good tolerance. However, deglycosylationof baicalin to baicalein was found to have strongeranticancer potential.
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Caspase-3 inhibitor inhibits enterovirus D68 production
Wenbo Huo,Jinghua Yu,Chunyu Liu,Ting Wu,Yue Wang,Xiangling Meng,Fengmei Song,Shuxia Zhang,Ying Su,Yumeng Liu,Jinming Liu,Xiaoyan Yu,Shucheng Hua 한국미생물학회 2020 The journal of microbiology Vol.58 No.9
Enterovirus D68 (EVD68) is an emerging pathogen that recently caused a large worldwide outbreak of severe respiratory disease in children. However, the relationship between EVD68 and host cells remains unclear. Caspases are involved in cell death, immune response, and even viral production. We found that caspase-3 was activated during EVD68 replication to induce apoptosis. Caspase-3 inhibitor (Z-DEVDFMK) inhibited viral production, protected host cells from the cytopathic effects of EVD68 infection, and prevented EVD68 from regulating the host cell cycle at G0/G1. Meanwhile, caspase-3 activator (PAC-1) increased EVD68 production. EVD68 infection therefore activates caspase-3 for virus production. This knowledge provides a potential direction for the prevention and treatment of disease related to EVD68.
ScienceON
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